An updated and expanded assessment of PLS-SEM in information systems research

J Hair, CL Hollingsworth, AB Randolph… - … management & data …, 2017 - emerald.com
Purpose Following the call for awareness of accepted reporting practices by Ringle,
Sarstedt, and Straub in 2012, the purpose of this paper is to review and analyze the use of …

Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method

JF Hair, Jr, M Sarstedt, LM Matthews… - European business …, 2016 - emerald.com
Purpose–The purpose of this paper is to provide an overview of unobserved heterogeneity
in the context of partial least squares structural equation modeling (PLS-SEM), its …

Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality

F Li, H Lu, M Hou, K Cui, M Darbandi - Technology in Society, 2021 - Elsevier
The banking industry is rapidly develo** to utilize e-banking as an efficient and suitable
tool to satisfy customers. Online banking service is the general service suggested by …

Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research

W Chin, JH Cheah, Y Liu, H Ting, XJ Lim… - … Management & Data …, 2020 - emerald.com
Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular
in the information systems (IS) field for modeling structural relationships between latent …

PLS‐SEM: Prediction‐oriented solutions for HRD researchers

AE Legate, JF Hair Jr, JL Chretien… - Human Resource …, 2023 - Wiley Online Library
Structural equation modeling, often referred to as SEM, is a well‐established, covariance‐
based multivariate method used in Human Resource Development (HRD) quantitative …

Consumer attitude and intention to adopt mobile wallet in India–An empirical study

D Chawla, H Joshi - International Journal of Bank Marketing, 2019 - emerald.com
Purpose The purpose of this paper is to empirically examine the factors that influence a
consumer's attitude and intention to use mobile wallets using a sample representative of …

Structural model robustness checks in PLS-SEM

M Sarstedt, CM Ringle, JH Cheah, H Ting… - Tourism …, 2020 - journals.sagepub.com
Partial least squares structural equation modeling (PLS-SEM) has become a standard tool
for analyzing complex inter-relationships between observed and latent variables in tourism …

PLS-SEM or CB-SEM: updated guidelines on which method to use

JF Hair Jr, LM Matthews… - … of Multivariate Data …, 2017 - inderscienceonline.com
Numerous statistical methods are available for social researchers. Therefore, knowing the
appropriate technique can be a challenge. For example, when considering structural …

Partial least squares structural equation modeling

M Sarstedt, CM Ringle, JF Hair - Handbook of market research, 2021 - Springer
Partial least squares structural equation modeling (PLS-SEM) has become a popular
method for estimating path models with latent variables and their relationships. A common …

Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice

JF Hair, CM Ringle, SP Gudergan, A Fischer, C Nitzl… - Business …, 2019 - Springer
Commonly used discrete choice model analyses (eg, probit, logit and multinomial logit
models) draw on the estimation of importance weights that apply to different attribute levels …